On parameter estimation in an in vitro compartmental model for drug-induced enzyme production in pharmacotherapy
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A pharmacodynamic model introduced earlier in the literature for in silico prediction of rifampicin-induced CYP3A4 enzyme production is described and some aspects of the involved curve-fitting based parameter estimation are discussed. Validation with our own laboratory data shows that the quality of the fit is particularly sensitive with respect to an unknown parameter representing the concentration of the nuclear receptor PXR (pregnane X receptor). A detailed analysis of the influence of that parameter on the solution of the model’s system of ordinary differential equations is given and it is pointed out that some ingredients of the analysis might be useful for more general pharmacodynamic models. Numerical experiments are presented to illustrate the performance of related parameter estimation procedures based on least-squares minimization.
Keywordspharmacotherapy pharmacodynamic modelling constrained optimization parameter estimation
MSC 201092C45 34A34 65F60 65K10
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We would like to thank Prof. Petr Pávek for the laboratory experiments described in this manuscript; they were performed under his supervision and in his laboratory at the Faculty of Pharmacy of Charles university in Hradec Králové.
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